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Nico Karssemeijer
Nico Karssemeijer
Professor of Computer Aided Diagnosis, Radboud University Nijmegen
Verified email at radboudumc.nl - Homepage
Title
Cited by
Cited by
Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
18922017
Large scale deep learning for computer aided detection of mammographic lesions
T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ...
Medical image analysis 35, 303-312, 2017
7922017
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
M Kallenberg, K Petersen, M Nielsen, AY Ng, P Diao, C Igel, CM Vachon, ...
IEEE transactions on medical imaging 35 (5), 1322-1331, 2016
3962016
Computer-aided detection of prostate cancer in MRI
G Litjens, O Debats, J Barentsz, N Karssemeijer, H Huisman
IEEE transactions on medical imaging 33 (5), 1083-1092, 2014
3962014
Detection of stellate distortions in mammograms
N Karssemeijer, GM te Brake
IEEE Transactions on Medical Imaging 15 (5), 611-619, 1996
3921996
Automated classification of parenchymal patterns in mammograms
N Karssemeijer
Physics in medicine & biology 43 (2), 365, 1998
3631998
Volumetric breast density estimation from full-field digital mammograms
S van Engeland, PR Snoeren, H Huisman, C Boetes, N Karssemeijer
IEEE transactions on medical imaging 25 (3), 273-282, 2006
2782006
Supplemental MRI screening for women with extremely dense breast tissue
MF Bakker, SV de Lange, RM Pijnappel, RM Mann, PHM Peeters, ...
New England Journal of Medicine 381 (22), 2091-2102, 2019
2752019
Transfer learning for domain adaptation in MRI: Application in brain lesion segmentation
M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ...
International conference on medical image computing and computer-assisted …, 2017
2602017
Staging urinary bladder cancer after transurethral biopsy: value of fast dynamic contrast enhanced MR imaging
JO Barentsz, GJ Jager, PBJ Van Vierzen, JA Witjes, SP Strijk, HFM Peters, ...
2541996
Robust Breast Composition Measurement - VolparaTM
R Highnam, SM Brady, MJ Yaffe, N Karssemeijer, J Harvey
International workshop on digital mammography, 342-349, 2010
2512010
A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography
S Timp, N Karssemeijer
Medical physics 31 (5), 958-971, 2004
2342004
Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities
M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ...
Scientific Reports 7 (1), 1-12, 2017
2192017
Stain specific standardization of whole-slide histopathological images
BE Bejnordi, G Litjens, N Timofeeva, I Otte-Höller, A Homeyer, ...
IEEE transactions on medical imaging 35 (2), 404-415, 2015
2142015
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer
ML Giger, N Karssemeijer, JA Schnabel
Annual review of biomedical engineering 15, 327-357, 2013
2132013
Adaptive noise equalization and recognition of microcalcification clusters in mammograms
N Karssemeijer
International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993
2131993
Single and multiscale detection of masses in digital mammograms
GM Te Brake, N Karssemeijer
IEEE transactions on medical imaging 18 (7), 628-639, 1999
1741999
A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging
RM Mann, RD Mus, J van Zelst, C Geppert, N Karssemeijer, B Platel
Investigative radiology 49 (9), 579-585, 2014
1702014
An automatic method to discriminate malignant masses from normal tissue in digital mammograms1
GM te Brake, N Karssemeijer, JHCL Hendriks
Physics in Medicine & Biology 45 (10), 2843, 2000
1702000
Computer-aided detection versus independent double reading of masses on mammograms
N Karssemeijer, JDM Otten, ALM Verbeek, JH Groenewoud, ...
Radiology 227 (1), 192-200, 2003
1672003
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